Reduce support tickets by 30% and achieve a 10% higher containment rate by leveraging insights and continuous knowledge base enhancements powered by LLMs.

Analyze agent conversations using LLM models

Automatically generate knowledge base (KB) articles from successful agent interactions

Transfer complex queries to human agents

Analyze AI-generated topic clusters for bot conversations

Access key insights like conversation share, containment rates, and containment rate opportunities at the topic level

Dive into topic clusters with a detailed percentage breakdown of conversations by sentiment

Evaluate each bot conversation with in-house LLMs

Assess conversations to enhance resolution quality and customer satisfaction

Generate actionable insights to identify opportunities for increasing automation

Get topic level and conversation level breakdown of user sentiments

User sentiment analysis categorized into positive, negative and neutral

Timeline view of user sentiments across a given period to understand trends
